Tiat

Tiat is an image organizer designed to handle large collections of graphic files. It is developed for photographers, designers, and users with extensive image libraries, allowing them to manage millions of files without duplicating storage.

★★★★★

5.0(1 ratings)

• Duplicate-free organization. Tiat does not create redundant copies of images. It only stores metadata and thumbnails, optimizing disk space usage. The original files remain in their initial location without taking up additional storage.
• Folder synchronization. The user selects specific directories to manage, with the option to exclude subfolders. The interface displays images immediately after configuring the access paths.
• Advanced filters. A search system with multiple criteria: file name, tags, star ratings, or attached notes. It allows creating collections based on common characteristics among images.
• Color filter. A specialized tool to locate images with similar color palettes. It analyzes dominant tones in photographs to group visually related content.
• EXIF filters. Access to technical metadata of digital photographs. It allows searching for images by parameters such as camera model, exposure settings, or capture date.
• Format conversion. Transforms images between different formats including JPEG, PNG, GIF, and WebP. Maintains quality settings during conversion.
• Resizing. Modifies image dimensions by specifying absolute pixel values or relative percentages. Preserves original proportions when scaling.
• Batch renaming. Function to change file names in bulk. Assigns a base name and automatically adds sequential numbering.
• ZIP compression. Creates compressed archives with selected images. Reduces size for sharing or storing groups of files.
• Quick preview. Displays high-quality thumbnails even in large collections. The visual representation maintains good performance with thousands of items.

Tiat development began as a solution for professionals who needed to manage large volumes of images without consuming additional space. The first stable version was released in 2020. The application is programmed in C++ for the image processing core, combined with Qt for the cross-platform graphical interface.

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